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  • All HBS Web  (4,845)
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  • October 2024
  • Course Overview Note

Risks, Opportunities, and Investments in the Era of Climate Change (ROICC)

By: George Serafeim
This course overview note introduces the course Risks, Opportunities, and Investments in the Era of Climate Change to students. View Details
Keywords: Environment; Innovation; Technology; General Management; Organizational Transformations; Investments; Entrepreneurship; Strategy; Finance; Accounting; Leadership; Climate Change; Environmental Sustainability; Management
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Serafeim, George. "Risks, Opportunities, and Investments in the Era of Climate Change (ROICC)." Harvard Business School Course Overview Note 125-052, October 2024.
  • June 2002
  • Background Note

Complexity Theory and Negotiation

By: Michael A. Wheeler and Gillian Morris
This case highlights an application of current thoughts in complexity science to negotiation theory. It emphasizes a provocative approach that questions much of traditional negotiation research thus far. The case explains the roots of complexity science and some broad... View Details
Keywords: Complexity; Negotiation Tactics; Outcome or Result; Interpersonal Communication
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Wheeler, Michael A., and Gillian Morris. "Complexity Theory and Negotiation." Harvard Business School Background Note 902-230, June 2002.
  • Article

Private and Civil Society Governors of Mercury Pollution from Artisanal and Small-scale Gold Mining: A Network Analytic Approach

By: Kristin Sippl
Artisanal and small-scale gold mining (ASGM) is both a subsistence livelihood for millions of people and the leading source of mercury pollution globally. The United Nation’s 2013 Minamata Convention on Mercury aims to address this challenge, but such public regulatory... View Details
Keywords: Artisanal And Small-scale Mining (ASM); Private Governance; Gold; Mercury; Mining; Governance; Networks; Pollutants; Research
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Sippl, Kristin. "Private and Civil Society Governors of Mercury Pollution from Artisanal and Small-scale Gold Mining: A Network Analytic Approach." Extractive Industries and Society 2, no. 2 (April 2015): 198–208.
  • 07 Sep 2021
  • News

Harvard Business School Study Says Software Overlooks Millions Of Qualified Job Candidates: Here’s How To Fight Back Against The Bots

  • 30 Jul 2014
  • News

Were OkCupid’s and Facebook’s Experiments Unethical?

  • November 2016 (Revised November 2016)
  • Case

Radial Analytics Probes Post-Acute Care

By: Richard G. Hamermesh and Olivia Hull
Thaddeus Fulford-Jones and Eric Weiss, founders of healthcare technology startup Radial Analytics, have been busy developing a software program designed to save hospitals money and improve patient outcomes by producing customized care plans for patients leaving the... View Details
Keywords: Electronic Medical Records; Electronic Health Records; Data Science; Entrepreneurship; Health Care and Treatment; Business Model; Business Startups; Innovation and Invention; Growth Management; Marketing Strategy; Product Launch; Product Positioning; Science-Based Business; Business Strategy; Technology Industry; Technology Industry; Cambridge; Massachusetts
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Hamermesh, Richard G., and Olivia Hull. "Radial Analytics Probes Post-Acute Care." Harvard Business School Case 817-029, November 2016. (Revised November 2016.)
  • 01 Sep 2007
  • News

Stem Cell Man

Last year, Brock Reeve (MBA ’88) was named executive director of the Harvard Stem Cell Institute to bring his managerial and diplomatic skills to bear on achieving organizational cohesion and help speed... View Details
Keywords: biology; stem cell science; Management, Scientific, and Technical Consulting Services; Management, Scientific, and Technical Consulting Services
  • 01 Oct 2018
  • Working Paper Summaries

Negative Shocks and Innovation: Evidence from Medical Device Recalls

Keywords: by George P. Ball, Jeffrey T. Macher, and Ariel Dora Stern; Health; Medical Devices & Supplies
  • Research Summary

Strategic and Competitive Dynamics

Professor Coughlan's research in the area of Strategic and Competitive Dynamics applies game theory, industrial organization economics, and laboratory experiments to the investigation of competitive interactions between firms and strategic responses to technological... View Details
  • June 2012
  • Article

A Reexamination of Tunneling and Business Groups: New Data and New Methods

By: Jordan I. Siegel and Prithwiraj Choudhury
One of the most rigorous methodologies in the corporate governance literature uses firms' reactions to industry shocks to characterize the quality of governance. This methodology can produce the wrong answer unless one considers the ways firms compete. Because... View Details
Keywords: Corporate Governance; Mergers And Acquisitions; Business Economics; Firm Organization; Firm Performance; Groups and Teams; Analytics and Data Science
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Siegel, Jordan I., and Prithwiraj Choudhury. "A Reexamination of Tunneling and Business Groups: New Data and New Methods." Review of Financial Studies 25, no. 6 (June 2012): 1763–1798.
  • 2024
  • Working Paper

Advancing Personalization: How to Experiment, Learn & Optimize

By: Aurelie Lemmens, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela and Oded Netzer
Personalization has become the heartbeat of modern marketing. Advances in causal inference and machine learning enable companies to understand how the same marketing action can impact the choices of individual customers differently. This article provides an academic... View Details
Keywords: Personalization; Targeting; Experiments; Observational Studies; Policy Implementation; Policy Evaluation; Customization and Personalization; Marketing Strategy; AI and Machine Learning
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Lemmens, Aurelie, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela, and Oded Netzer. "Advancing Personalization: How to Experiment, Learn & Optimize." Working Paper, July 2024. (Revised March 2025.)
  • 23 Mar 2020
  • Working Paper Summaries

The Effects of Hierarchy on Learning and Performance in Business Experimentation

Keywords: by Sourobh Ghosh, Stefan H. Thomke, and Hazjier Pourkhalkhali
  • 07 Apr 2021
  • News

Technology, Engineering, and Business Intersect at 2nd Annual SEAS/HBS Showcase

  • Web

Working with City Leadership to Leverage Technology | Social Enterprise | Harvard Business School

attract top talent.” Leadership Fellows enabled access to a variety of qualified candidates, among whom Henry stood out. “He was absolutely my number one choice: he combined an amazing tech background with public sector experience.” Leading the way to innovation View Details
  • March 2022 (Revised January 2025)
  • Technical Note

Exploratory Data Analysis

By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
This module note provides an overview of exploratory data analysis for an introduction to data science course. It begins by defining the term "data", and then describes the different types of data that companies work with (structured v. unstructured, categorical v.... View Details
Keywords: Data Analysis; Data Science; Statistics; Data Visualization; Exploratory Data Analysis; Analytics and Data Science; Analysis
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Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Exploratory Data Analysis." Harvard Business School Technical Note 622-098, March 2022. (Revised January 2025.)
  • 2005
  • Chapter

Social Pressures in Siting Conflicts: A Case Study of Siting a Radioactive Waste Repository in Pennsylvania

By: Felix Oberholzer-Gee and Howard Kunreuther
Keywords: Wastes and Waste Processing; Civil Society or Community; Social Issues; Conflict and Resolution; Local Range
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Oberholzer-Gee, Felix, and Howard Kunreuther. "Social Pressures in Siting Conflicts: A Case Study of Siting a Radioactive Waste Repository in Pennsylvania." In Managing Conflict in Facility Siting, edited by S. Hayden Lesbirel and Daigee Shaw. Northampton, MA: Edward Elgar Publishing, 2005.
  • August 2018 (Revised September 2018)
  • Supplement

LendingClub (B): Decision Trees & Random Forests

By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) case. In this case students follow Emily Figel as she builds two tree-based models using historical LendingClub data to predict, with some probability, whether borrower will repay or default on his loan.
... View Details
Keywords: Data Science; Data Analytics; Decision Trees; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction
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Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (B): Decision Trees & Random Forests." Harvard Business School Supplement 119-021, August 2018. (Revised September 2018.)
  • 25 Jul 2023
  • Research & Ideas

Could a Business Model Help Big Pharma Save Lives and Profit?

cost, worthwhile profits can be made, while bringing enormous health and happiness to large populations.” The approach turns traditional marketing on its head This model encourages manufacturers to offer their often-contested patented... View Details
Keywords: by Esther Schrader; Pharmaceutical; Health
  • February 2021
  • Case

Digital Manufacturing at Amgen

By: Shane Greenstein, Kyle R. Myers and Sarah Mehta
This case discusses efforts made by biotechnology (biotech) company Amgen to introduce digital technologies into its manufacturing processes. Doing so is complicated by the fact that the process for manufacturing biologics—or therapeutics made from living cells—is... View Details
Keywords: Digital Technologies; Change; Change Management; Decision Making; Cost vs Benefits; Decisions; Information; Analytics and Data Science; Innovation and Invention; Innovation and Management; Innovation Leadership; Innovation Strategy; Technological Innovation; Jobs and Positions; Knowledge; Leadership; Organizational Culture; Science; Strategy; Information Technology; Technology Adoption; Biotechnology Industry; Pharmaceutical Industry; United States; California; Puerto Rico; Rhode Island
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Greenstein, Shane, Kyle R. Myers, and Sarah Mehta. "Digital Manufacturing at Amgen." Harvard Business School Case 621-008, February 2021.
  • 2024
  • Working Paper

Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python

By: Melissa Ouellet and Michael W. Toffel
This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in... View Details
Keywords: Empirical Methods; Empirical Operations; Statistical Methods And Machine Learning; Statistical Interferences; Research Analysts; Analytics and Data Science; Mathematical Methods
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Ouellet, Melissa, and Michael W. Toffel. "Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python." Harvard Business School Working Paper, No. 25-010, August 2024.
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